Response inhibition

…measured with sustained attention to response task (SART). Our research group aimed to investigate the age-related changes in inhibitory functions with electroencephalography (EEG) in theta oscillations. The EEG of 19 healthy individuals (young, 18-25 years old, M = 21.71, SD = 2.06; elderly 55-70 years old, M = 62.43 , SD = 6.33) was recorded at the F3, Fz, F4, C3, Cz, C4, P3, Pz, P4, O1, Oz, and O2 locations during the auditory SART. The maximum power of the target stimuli was calcula

The ability to withhold a response and appropriately time one’s actions is an essential component of goal-directed behavior. Aspects of such cognitive control in rodents are supported by the medial prefrontal cortex (mPFC). The mPFC and its subareas are a site of distinct delay-related activity during motor preparation. However, how mPFC integrates relevant information and exercises the control over behavioral responses remains incompletely understood. Here we characterized local field potentials (LFPs) within mPFC with a focus on the detection of beta bursts – discrete oscillatory events in t

…show a deficit in behavioral inhibition when performing tasks with numerical stimuli. Event-related brain potentials were recorded while 28 HMA and 28 low math-anxious (LMA) individuals performed two Go/NoGo tasks. In the numerical task, single-digit numbers were presented and participants were asked to press a button if the number was even. In the non-numerical task, letters were presented and the button had to be pressed if the letter was a vowel. Groups did not differ in response time for the Go trials and re

Obsessive-Compulsive Disorder (OCD) entails intrusive thoughts and repetitive behaviors fueled by anxiety, influenced by cognitive, emotional, and behavioral factors. Medication is employed to address these dynamics. Recent theories explore a potential correlation between OCD symptoms and brain attractor network states, pointing to a connection with glutamatergic activity. In our investigation, conducted over three time points with 7-week intervals, we collected a comprehensive dataset comprising resting-state and task-based fMRI signals, DTI data, and metabolic details, particularly focusing

Response inhibition, the ability to withhold actions that are no longer appropriate, is commonly studied using the stop-signal task. Participants’ performance on the task is often understood as a race between a go- and stop-process, making it tempting to fit evidence accumulation models as the go- and stop-racers. Prior research shows, however, that behavioral stop-signal evidence accumulation models have unrecoverable parameters. In this study, we explored whether neurocognitive models of response inhibition are recoverable from neural and behavioral stop-signal data, as it has been suggested